• DocumentCode
    132065
  • Title

    Peer to peer signal strength characteristic between IoT devices for distance estimation

  • Author

    Joonyoung Jung ; Dong-oh Kang ; Changseok Bae

  • Author_Institution
    Human Comput. Res. Sect., Electron. & Telecommun. Res. Inst., Daejeon, South Korea
  • fYear
    2014
  • fDate
    6-8 March 2014
  • Firstpage
    208
  • Lastpage
    211
  • Abstract
    The Received Signal Strength Indication (RSSI) value of Bluetooth can be used to estimate distance between Internet of Things (IoT) devices. IoT devices, within Wireless Body Area Network (WBAN) area, can recognize each other in office environment automatically. Peer to peer distance estimation using the RSSI of Bluetooth is difficult because of large deviation of RSSI value. This paper describes the experimental results of RSSI measurement between IoT devices in office environment. And it applies the Low Pass Filter (LPF) to reduce the deviation of RSSI value. In east direction, when RSSI raw data is used, there is an overlap region, 23dBm, between WBAN area and outside of WBAN area. However, when LPF data is used, there is a gap about 1.7dBm. So, we can estimate distance using Bluetooth RSSI LPF data whether the IoT device is within WBAN area or not.
  • Keywords
    Bluetooth; Internet of Things; body area networks; low-pass filters; peer-to-peer computing; Bluetooth; Internet of Things; IoT devices; LPF data; RSSI; RSSI measurement; RSSI raw data; low pass filter; office environment; peer to peer distance estimation; peer to peer signal strength characteristic; received signal strength indication; wireless body area network; Ad hoc networks; Bluetooth; Estimation; Global Positioning System; Internet; Sensors; Wireless sensor networks; distance estimation; peer to peer signal strength; wireless body area network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Internet of Things (WF-IoT), 2014 IEEE World Forum on
  • Conference_Location
    Seoul
  • Type

    conf

  • DOI
    10.1109/WF-IoT.2014.6803160
  • Filename
    6803160